Building a simple Django Rest API application Execute the commands below to set up the project. Add the code snippet below to urls.py file in the dropboxer project directory. Create serializers.py and urls.py files in the uploader app. In models.py file, we create a simple model that represents a single file.
This feature allows you to upload and remove files asynchronously. When multiple files are chosen in Asynchronous upload,files will be uploaded one by one to the server. User interaction with the page will not be interrupted at the time of upload. User can also remove the file even after uploading.
In the Amazon S3 console, choose the bucket where you want to upload an object, choose Upload, and then choose Add Files. In the file selection dialog box, find the file that you want to upload, choose it, choose Open, and then choose Start Upload. You can watch the progress of the upload in the Transfer pane.
I've taken another approach to this problem.
My models have 2 file fields, one uses the standard file storage backend and the other one uses the s3 file storage backend. When the user uploads a file it get's stored localy.
I have a management command in my application that uploads all the localy stored files to s3 and updates the models.
So when a request comes for the file I check to see if the model object uses the s3 storage field, if so I send a redirect to the correct url on s3, if not I send a redirect so that nginx can serve the file from disk.
This management command can ofcourse be triggered by any event a cronjob or whatever.
It's possible to have your users upload files directly to S3 from their browser using a special form (with an encrypted policy document in a hidden field). They will be redirected back to your application once the upload completes.
More information here: http://developer.amazonwebservices.com/connect/entry.jspa?externalID=1434
There is an app for that :-)
https://github.com/jezdez/django-queued-storage
It does exactly what you need - and much more, because you can set any "local" storage and any "remote" storage. This app will store your file in fast "local" storage (for example MogileFS storage) and then using Celery (django-celery), will attempt asynchronous uploading to the "remote" storage.
Few remarks:
The tricky thing is - you can setup it to copy&upload, or to upload&delete strategy, that will delete local file once it is uploaded.
Second tricky thing - it will serve file from "local" storage until it is not uploaded.
It also can be configured to make number of retries on uploads failures.
Installation & usage is also very simple and straightforward:
pip install django-queued-storage
append to INSTALLED_APPS
:
INSTALLED_APPS += ('queued_storage',)
in models.py
:
from queued_storage.backends import QueuedStorage
queued_s3storage = QueuedStorage(
'django.core.files.storage.FileSystemStorage',
'storages.backends.s3boto.S3BotoStorage', task='queued_storage.tasks.TransferAndDelete')
class MyModel(models.Model):
my_file = models.FileField(upload_to='files', storage=queued_s3storage)
You could decouple the process:
[*: In case you have only a shared hosting you could possibly build some solution which uses an hidden Iframe in the users browser to start a script which then uploads the file to S3]
You can directly upload media to the s3 server without using your web application server.
See the following references:
Amazon API Reference : http://docs.amazonwebservices.com/AmazonS3/latest/dev/index.html?UsingHTTPPOST.html
A django implementation : https://github.com/sbc/django-uploadify-s3
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